prescriptive retail Analytics

Analytics provided you insights. Prescriptive Analytics tells you what action to take.

Are you making use of the huge amounts of data available to you today?

This data can tell you what action needs to be taken when, where and by whom. Retail Analytics by Manthan is a Prescriptive Analytics product powered by AI that recommends optimal data-driven actions across all key merchandising and in-store functions. And with Manthan's unique conversational UI, every business user can benefit from these recommendations.

Use cases by business process

A quick look at how Retail Analytics makes critical processes easier to handle.

Category Managers can continually optimize the product mix by recommending products to be dropped, retained, replaced or substituted.

Category Managers can also identify complementary products that can be bundled based on purchase patterns, linkages and cross sell opportunities.

The platform also suggests products for markdown with the ideal markdown rates, percentage and expected sales uplift.

Additionally, it can recommend appropriate price points for products that are slow movers based on external factors and internal data.

OBJECTIVE: Maximize availability of inventory and minimize total cost of inventory.

WHAT RETAIL ANALYTICS DOES:Helps retailers drive higher customer satisfaction and more convenience. Other goals the solution supports include ordering and distribution, customer order fulfilment and markdown planning.

The platform provides real-time information of potential out of stock situations and triggers purchase orders for stock, trigger automated intra-store transfers for stock replenishment and arrive at the optimum MBQ based on sales trends and sales forecasts.

Solution also recommends markdowns for excess inventory and streamlines the overall buying process.

OBJECTIVE: Optimally and consistently price products across channels.

WHAT RETAIL ANALYTICS DOES: The solution aids retailers price every SKU intelligently by analyzing a variety of factors that impact pricing such as age of stock, lifecycle stage, inventory count, sell through, demand, competitor price analysis, promotions or bundling. Based on these analytical insights, the optimal price is computed for each product. Not only does retail analytics recommend the optimal price, it also accelerates execution of pricing changes by automating workflows and integrating with other enterprise systems.

PRESPECTIVE ACTION: The solution prescribes the optimal price for products in alignment with business objectives such as sales targets, profit goals or to achieve desired business outcomes such as projected margin lift or inventory uptake. This is made possible by using AI and advanced prescriptive algorithms. Pricing can be prescribed for different business contexts such as regular pricing, promotional offers, dynamic pricing for fast-moving consumer goods and markdowns for seasonal products.

UNDERLYING DATA ANALYTICS: The solution provides pricing recommendations using advanced machine learning algorithms and does not require user intervention or supervision. Pricing is handled within specific business and industry scenarios, making pricing prescriptions more relevant, contextual and accurate. By invoking advanced algorithms, users can analyze all the relevant variables that impact pricing including sales trend, demand, event history, promotion data, inventory and orders data, seasonal data, competitive pricing data, weather data etc. The application self-learns and adapts pricing recommendations using machine learning to improve business outcomes over time for enhanced quality and accuracy of prescriptions.

OPTIMAL PRICING FOR CATEGORY MANAGERS:The prescriptive pricing capability helps category managers and store managers optimize pricing for products across all channels based on the business context.

Category managers only need to specify business objectives and the solution will then evaluate relevant categories, sub-categories, stores, products, and brands that affect the business outcome, analyze them and recommend optimal pricing for every product. The solution also provides additional flexibility to simulate other possible outcomes easily and make appropriate decisions if required.

Once the appropriate price is determined, it also helps accelerate execution of the price change with automated workflows and price products consistently across all channels for better customer experience.

OBJECTIVE: The right promotion for the right product at the right price.

PRESPECTIVE ACTION: Re-order, replenishment, manage inventory, fulfilment, create the right promotions and markdowns/ liquidation etc. These actions are available on-tap through an intuitive mobile application.

Identify regional or local preference for products based on a variety of attributes like color, size and styles

recommend higher sell thru for products in relevant stores

The platform recommends products with high product affinity for bundling and uses planogram directors for placing proximity within store. It also provides store Managers with recommendations to move slow moving products to a fast selling area of the store.

OBJECTIVE: Maximize availability of inventory and minimize total cost of inventory.

WHAT RETAIL ANALYTICS DOES:Helps retailers drive higher customer satisfaction and more convenience. Other goals the solution supports include ordering and distribution, customer order fulfilment and markdown planning.

The platform provides real-time information of potential out of stock situations and triggers purchase orders for stock, trigger automated intra-store transfers for stock replenishment and arrive at the optimum MBQ based on sales trends and sales forecasts.

Solution also recommends markdowns for excess inventory and streamlines the overall buying process.

WHAT RETAIL ANALYTICS DOES: The solution aids retailers price every SKU intelligently by analyzing a variety of factors that impact pricing such as age of stock, lifecycle stage, inventory count, sell through, demand, competitor price analysis, promotions or bundling. Based on these analytical insights, the optimal price is computed for each product. Not only does retail analytics recommend the optimal price, it also accelerates execution of pricing changes by automating workflows and integrating with other enterprise systems.

PRESPECTIVE ACTION: The solution prescribes the optimal price for products in alignment with business objectives such as sales targets, profit goals or to achieve desired business outcomes such as projected margin lift or inventory uptake. This is made possible by using AI and advanced prescriptive algorithms. Pricing can be prescribed for different business contexts such as regular pricing, promotional offers, dynamic pricing for fast-moving consumer goods and markdowns for seasonal products.

UNDERLYING DATA ANALYTICS: The solution provides pricing recommendations using advanced machine learning algorithms and does not require user intervention or supervision. Pricing is handled within specific business and industry scenarios, making pricing prescriptions more relevant, contextual and accurate. By invoking advanced algorithms, users can analyze all the relevant variables that impact pricing including sales trend, demand, event history, promotion data, inventory and orders data, seasonal data, competitive pricing data, weather data etc. The application self-learns and adapts pricing recommendations using machine learning to improve business outcomes over time for enhanced quality and accuracy of prescriptions.

OPTIMAL PRICING FOR CATEGORY MANAGERS:The prescriptive pricing capability helps category managers and store managers optimize pricing for products across all channels based on the business context.

Category managers only need to specify business objectives and the solution will then evaluate relevant categories, sub-categories, stores, products, and brands that affect the business outcome, analyze them and recommend optimal pricing for every product. The solution also provides additional flexibility to simulate other possible outcomes easily and make appropriate decisions if required.

Once the appropriate price is determined, it also helps accelerate execution of the price change with automated workflows and price products consistently across all channels for better customer experience.

PRESPECTIVE ACTION: Re-order, replenishment, manage inventory, fulfilment, create the right promotions and markdowns/ liquidation etc. These actions are available on-tap through an intuitive mobile application.

Identify regional or local preference for products based on a variety of attributes like color, size and styles

recommend higher sell thru for products in relevant stores

The platform recommends products with high product affinity for bundling and uses planogram directors for placing proximity within store. It also provides store Managers with recommendations to move slow moving products to a fast selling area of the store.

Use cases by role

For the CEO or the CEO’s Executive Assistant, access to business insights is as simple as having a conversation.

With Manthan’s conversational UI, all you need to do is ask. And you get answers to business queries, instantly. From anywhere.

All, just by asking a question in natural language, without dependency on analyst or IT teams. And, all information becomes real-time.

Analysts now have an advanced analytics platform powered by AI, for ad-hoc analysis.

The platform also offers best-of-breed discovery toolset for analysts to explore and discover insights on the data platform. And a self- serviceadvanced analytics workbench to program and score a set of pre-built models for specific business use cases.

Retail Analytics is industry’s most comprehensive data platform. It combines retail enterprise with thridparty data sources and with 100s of pre-built metrics and KPIs to track and measure retail business performance.

Business users have personalized, rolebased analytics for daily needs and daily use. You have access to the following::

The platform also offers best-of-breed discovery toolset for analysts to explore and discover insights on the data platform. And a self- serviceadvanced analytics workbench to program and score a set of pre-built models for specific business use cases.

Retail Analytics is industry’s most comprehensive data platform. It combines retail enterprise with thridparty data sources and with 100s of pre-built metrics and KPIs to track and measure retail business performance.